Feng Nan

According to our database, Feng Nan authored at least 36 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities.

Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Felix Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang

CoRR, 2024

Apple Intelligence Foundation Language Models.

Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng

CoRR, 2024

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.

Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang

CoRR, 2024

2023

Validation and Evaluation of GRACE-FO Estimates with In Situ Bottom Pressure Array Measurements in the South China Sea.

Xuecheng Wang, Hua Zheng, Xiao-Hua Zhu, Ruixiang Zhao, Min Wang, Juntian Chen, Yunlong Ma, Feng Nan, Fei Yu

Remote. Sens., 2023

SWING: Balancing Coverage and Faithfulness for Dialogue Summarization.

Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization.

Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

ContraCLM: Contrastive Learning For Causal Language Model.

Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ContraGen: Effective Contrastive Learning For Causal Language Model.

Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang

CoRR, 2022

Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation.

Fei-Tzin Lee, Miguel Ballesteros, Feng Nan, Kathleen R. McKeown

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering.

Peng Shi, Patrick Ng, Feng Nan, Henghui Zhu, Jun Wang, Jiarong Jiang, Alexander Hanbo Li, Rishav Chakravarti, Donald Weidner, Bing Xiang, Zhiguo Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Analyzing the Abstractiveness-Factuality Tradeoff With Nonlinear Abstractiveness Constraints.

Markus Dreyer, Mengwen Liu, Feng Nan, Sandeep Atluri, Sujith Ravi

CoRR, 2021

Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes.

Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas W. Oard, Parminder Bhatia

CoRR, 2021

Supporting Clustering with Contrastive Learning.

Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Entity-level Factual Consistency of Abstractive Text Summarization.

Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Improving Factual Consistency of Abstractive Summarization via Question Answering.

Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.

Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.

Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

CoRR, 2020

Application of Improved BP Algorithm in Prediction of Axial Tension Performance and Crack Width Control Ability of UHPC.

Xuxiang Tan, Huadong Sun, Feng Nan

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Back Analysis of Concrete Temperature Field and Simulation of Temperature Control Measures Based on Simulated Annealing Algorithm.

Xuxiang Tan, Huadong Sun, Feng Nan

Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Unsupervised Domain Adaptation for Cross-lingual Text Labeling.

Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.

Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer.

Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Topic Modeling with Wasserstein Autoencoders.

Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Real-Time Monitoring of Smart Campus and Construction of Weibo Public Opinion Platform.

Feng Nan, Yina Suo, Xueyong Jia, Yuying Wu, Shuaijie Shan

IEEE Access, 2018

2017

Comments on the Proof of Adaptive Stochastic Set Cover Based on Adaptive Submodularity and Its Implications for the Group Identification Problem in "Group-Based Active Query Selection for Rapid Diagnosis in Time-Critical Situations".

Feng Nan, Venkatesh Saligrama

IEEE Trans. Inf. Theory, 2017

Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget.

Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama

CoRR, 2017

Comments on the proof of adaptive submodular function minimization.

Feng Nan, Venkatesh Saligrama

CoRR, 2017

Dynamic Model Selection for Prediction Under a Budget.

Feng Nan, Venkatesh Saligrama

CoRR, 2017

Adaptive Classification for Prediction Under a Budget.

Feng Nan, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Optimally Pruning Decision Tree Ensembles With Feature Cost.

Feng Nan, Joseph Wang, Venkatesh Saligrama

CoRR, 2016

Pruning Random Forests for Prediction on a Budget.

Feng Nan, Joseph Wang, Venkatesh Saligrama

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Max-Cost Discrete Function Evaluation Problem under a Budget.

Feng Nan, Joseph Wang, Venkatesh Saligrama

CoRR, 2015

Feature-Budgeted Random Forest.

Feng Nan, Joseph Wang, Venkatesh Saligrama

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Fast margin-based cost-sensitive classification.

Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

Proceedings of the IEEE International Conference on Acoustics, 2014

A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking.

Feng Nan, Mohammad Moghadasi, Pirooz Vakili, Sandor Vajda, Dima Kozakov, Ioannis Ch. Paschalidis

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2008

Particle filter for target tracking in multi-modality wireless sensor networks.

Wendong Xiao, Feng Nan, Sen Zhang, Chen-Khong Tham, Marcelo H. Ang, Jit Biswas

Proceedings of the IEEE International Conference on Systems, 2008